Chapter 8 Conclusions and future work
8.3 Recommendations for Future Works
The current study has tried to develop a new methodology in the field of signal processing for leak and feature detection in the pipeline network based on transient signal analysis. In order to extend the use of the proposed method, there is several advancement in the current state of art that needs to take place. Some of this is to improve the technique and some of it is to commercialise it. Following is a list of recommendations to enhance the accuracy of the leak detection system:
•
Several pressure transducers in different places can be used to capture the change of pressure over a large portion of a water distribution system, instead of using only a single pressure transducer. It is important in order to monitor the system or to get vital information to improve leak identification.•
The analysis of a simulated signal using TLM can be replaced by more complicated and accurate models which incorporate better physics. Furthermore, the application to other fluid flows of bigger diameter can be examined with the existing models in order to observe the effect of leak on changes of pressure wave in different size of pipe at different complexity.•
Large scale networks with complicated systems and a wider range of operational conditions have to be explored. An extended series of field trials needs to be conducted, and improve the system and analysis of the signal.• As empirical mode decomposition (EMD) is still new in signal analysis study, it needs to be improved to produce the more accurate and satisfying results. One of the main problems is the uncertainties about which IMFs are relevant in any EMD
169 process, which contributes to the overall difficulty in trying to physically interpret the IMFs of signals. Therefore, in order to improve the overall EMD process, some form of mathematical expression is necessary to discriminate between relevant and irrelevant IMFs.
170
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